🚀 The Slightly Unhinged AI/ML Roadmap (2026 Edition)
Tired of every AI/ML "roadmap" being either a 400-link Notion doc or a Twitter thread that says "just build agents bro"? Same. So I made the guide I wish I had when I started.
This is a 16-page, beautifully designed PDF that takes you from "I don't know what an epoch is" to "I have job offers" in 12 months — without the burnout, the tutorial hell, or the math anxiety.
What's inside:
✅ A full 12-month month-by-month roadmap across 5 phases — Foundations → Classic ML → Deep Learning → LLMs & GenAI → Deployment & Job Hunt ✅ The actual 2026 tech stack working AI engineers use (PyTorch, HuggingFace, LangChain, vLLM, LoRA, RAG — the real ones, not the buzzwords) ✅ 8 portfolio-worthy project ideas that get interview callbacks ✅ The 8 mistakes every fresher makes (and how to dodge them) ✅ A realistic 25-hour/week study routine that won't burn you out ✅ A complete interview playbook — what they actually ask, the 5 must-prep questions, mock-interview schedule ✅ The 12-month checkpoint checklist — print, stick on wall, tick as you go ✅ Curated resources only — no 400 random YouTube links, just the 10–15 that actually matter
Who it's for:
🎯 College students wondering where to even start 🎯 Recent grads tired of "AI/ML" tutorials that go nowhere 🎯 Career switchers who want a clear, honest path 🎯 Anyone who's googled "AI roadmap 2026" and felt more lost than before
Why this isn't another generic guide:
This is doodle-fueled, quirky, and written like a friend explaining things over chai — not a corporate LinkedIn post. Every page has hand-drawn visuals, sticky-note callouts, and zero filler. You'll actually finish reading it (and then actually do the work).
Delivery: Instant PDF download after purchase. Yours forever. Print it, annotate it, stick pages on your wall.
📩 Questions? DM me on Topmate before buying — happy to help you figure out if this is right for you.
— Dr. Maanvi Bhatnagar, AI/ML Engineer, PhD (NIT Raipur)